Picture for Padmanabhan Rajan

Padmanabhan Rajan

Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

Nov 21, 2021
Arshdeep Singh, Raju Arvind, Padmanabhan Rajan

Figure 1 for Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

Figure 2 for Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

Figure 3 for Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

Figure 4 for Health Monitoring of Industrial machines using Scene-Aware Threshold Selection

* 5 pages, 4 figures, 1 Table

Access Paper or Ask Questions

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Mar 27, 2019
Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

Figure 1 for Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Figure 2 for Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Figure 3 for Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Figure 4 for Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

* Under Review at JASA. Primitive version of paper. We are still working on getting better performances out of the comparative methods

Access Paper or Ask Questions

Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation

Feb 26, 2019
Anshul Thakur, Padmanabhan Rajan

Figure 1 for Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation

Figure 2 for Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation

Figure 3 for Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation

Figure 4 for Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation

* Accepted for publication in Applied Acoustics

Access Paper or Ask Questions

Conv-codes: Audio Hashing For Bird Species Classification

Feb 07, 2019
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan

Figure 1 for Conv-codes: Audio Hashing For Bird Species Classification

Figure 2 for Conv-codes: Audio Hashing For Bird Species Classification

* Accepted for presentation at ICASSP 2019

Access Paper or Ask Questions